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Nucleic Acids Research Advance Access originally published online on October 8, 2008
Nucleic Acids Research 2009 37(Database issue):D342-D346; doi:10.1093/nar/gkn696
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Nucleic Acids Research, 2009, Vol. 37, Database issue D342-D346
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]

Articles

KineticDB: a database of protein folding kinetics

Natalya S. Bogatyreva1, Alexander A. Osypov2 and Dmitry N. Ivankov1,*

1Institute of Protein Research and 2Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, Russia

*To whom correspondence should be addressed. Tel: +7 495 6327871; Fax: +7 495 6327871; Email: ivankov13{at}gmail.com

Received August 15, 2008. Revised September 24, 2008. Accepted September 25, 2008.

We propose here KineticDB, a systematically compiled database of protein folding kinetics, which contains about 90 unique proteins. The main goal of the KineticDB is to provide users with a diverse set of protein folding rates determined experimentally. The search for determinants of protein folding is still in progress, aimed at obtaining a new understanding of the folding process. Comparison with experimental protein folding rates has been the main tool for validation of both theoretical models and empirical relationships during the last 10 years. It is, therefore, necessary to provide a researcher with as much data as possible in a simple and easy-to-use way. At present, the KineticDB contains the results of folding kinetics measurements of single-domain proteins and separate protein domains as well as short peptides without disulfide bonds. It includes data on about 90 unique proteins and many mutants that have been systematically accumulated over the last 10 years and is the largest collection of protein folding kinetic data presented as a database. The KineticDB is available at http://kineticdb.protres.ru/db/index.pl.


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